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Human-in-the-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI
Requirements: .PDF reader, 21 mb
Overview: Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus almost exclusively on the algorithms, not the human-computer interaction part of the systems. This can leave a big knowledge gap for data scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorithms.

Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation, active learning, transfer learning, and using machine learning to optimize every step of the process.
Genre: Audiobooks > Non-Fiction



Download Instructions:
PDF:
Human-in-the-Loop_Machine_Learning.pdf
Human-in-the-Loop_Machine_Learning.pdf
Human-in-the-Loop_Machine_Learning.pdf

Code (22 mb):
Human-in-the-Loop_Machine_Learning-master.zip
Human-in-the-Loop_Machine_Learning-master.zip
Human-in-the-Loop_Machine_Learning-master.zip

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